Quantitative Data Engineer for Risk Analytics & AI

Bank of America

Charlotte (NC)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Bank of America in Charlotte, NC is seeking a skilled software engineer to design, develop, test, and implement reusable data quality tools and analytics for Global Risk Management. You will collaborate with modelers, risk managers, and technologists to shape the future state of data and analytics.

The role emphasizes building scalable pipelines, applying quantitative methods, and ensuring governance for AI-enabled solutions, with cross-functional collaboration across lines of business and

Qualifications

  • Bachelor’s degree in Math, CS, Statistics, OR related field; 2+ years in software engineering in Quantitative Finance or similar.
  • Strong analytical thinking, problem solving, and ability to translate business needs into technical solutions.
  • Experience with Python, SDLC, testing frameworks, and AI development patterns.

Responsibilities

  • Apply quantitative analysis to develop capabilities meeting risk, business, and regulatory requirements.
  • Understand financial data schemas, flows, sizes, data issues, data controls.
  • Build performant big data pipelines.
  • Deliver high quality code for model and testing processes.
  • Collaborate with stakeholders to align modeling and testing requirements.

Skills

Analytical Thinking
Problem Solving
Communication
Stakeholder Management
Software Engineering
AI Development
Data Engineering
Adaptability

Education

Bachelor’s degree or higher in related field

Tools

Python
SQL
APIs
LLM platforms

Job description

Bank of America in Charlotte, NC is seeking a skilled software engineer to design, develop, test, and implement reusable data quality tools and analytics for Global Risk Management. You will collaborate with modelers, risk managers, and technologists to shape the future state of data and analytics.

The role emphasizes building scalable pipelines, applying quantitative methods, and ensuring governance for AI-enabled solutions, with cross-functional collaboration across lines of business and

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